Private stack
On-prem LLM stacks for sensitive environments and constrained operator paths.
Private model deployments need policy boundaries, retrieval discipline, and UI surfaces that prevent accidental leakage.
What this looks like
We help teams design private model lanes where data handling, retrieval, and model access stay inside the boundary that actually matters.
Typical engagement
- define model and retrieval placement
- design policy and approval boundaries
- separate staff-facing and public-facing surfaces
- reduce the number of places sensitive context can leak
Output
A private stack is only useful when staff can operate it without improvising around it. We design the controls as seriously as the model lane itself.
Case studies